PebbleRoad

Bosses struggle to police workers’ use of AI - but should they? In this week’s newsletter, Maish Nichani shares a Financial Times article on staff adopting large language models faster than companies can issue guidelines on how to do so. He also shares: - A Harvard Business Review article on how Gen AI and Analytical AI differ, and when to use each - A MIT Sloan Management Review article on improving workflows by managing bottlenecks - Reflections on moving into a new office 👉Subscribe to our weekly newsletter for the latest news and insights into AI and digital transformation: https://lnkd.in/gfTh9d2C #design #innovation #transformation #AI #leadership

The consulting pyramid model is inverting in the face of AI – and we’re glad it’s happening. In this week’s newsletter, Maish Nichani shares an article by Scott Wolfson on how the consulting pyramid just flipped and why that changes everything. He also shares: - An article by Kate Moran that explores experience design as the next iteration of UX - An article by IDEO on how to build a great emerging tech product  - His reflections on some of the choices made this year moving into the next 👉 Subscribe to our weekly newsletter for the latest news and insights into AI and digital transformation: https://lnkd.in/gfTh9d2C #design #innovation #transformation #AI #leadership

“I’ve recently started learning LangChain to build a chatbot for a client project. LangChain is a software framework that helps facilitate the integration of large language models (LLMs) and applications. It’s an industry-standard framework that would allow easy switching between different LLMs later in the project. I started learning LangChain with simple examples from its extensive online documentation. LangChain has its own documentation website, and many people have made tutorials on their use cases for it. So I found the closest example to what I wanted to do and adapted it. If you’re new to LangChain, I recommend going through the official LangChain documentation, relevant YouTube videos, and Medium articles. Here are some I used: - Official LangChain website: https://www.langchain.com/  - LangChain Python API Reference: https://lnkd.in/gTaiEqig - DeepLearning.AI courses: https://lnkd.in/evxWufg  - A gentle intro to chaining LLMs, Agents, and utils via LangChain: https://lnkd.in/dYcPkdvH  - LangChain tutorials: https://lnkd.in/gr4Ucc5B One challenge I faced while learning LangChain is that although it is meant to be transferable, the output can sometimes differ between different language models, and there is limited documentation to handle such deviations. So I needed to figure the solution out by myself. Learning LangChain for this project has made me more comfortable with quickly learning and applying new technologies for different projects and opened up possibilities to explore related frameworks like LangGraph.” - Sidhaarth Venkataraman, Data Scientist at PebbleRoad #AI #LangChain #python #chatbots #learning

👉 Subscribe to our weekly newsletter for the latest news and insights into AI and digital transformation: https://lnkd.in/gfTh9d2C 📖 Read our books, Enterprise Search Essentials and Organising Digital Information, for free here: https://lnkd.in/ggFDhHX2 #design #innovation #transformation #AI #leadership

Yes, PebbleRoad is 20 years old! And there is so much to look forward to. This week's newsletter shares insights from Lenny Rachitsky and Benedict Evans on how the world is shaping up with AI. Onwards and upwards!

👉 Subscribe to our weekly newsletter for the latest news and insights into AI and digital transformation: https://lnkd.in/gfTh9d2C 📖 Read our books, Enterprise Search Essentials and Organising Digital Information, for free here: https://lnkd.in/ggFDhHX2 #design #innovation #transformation #AI #leadership

PebbleRoad turns 20! 🎉 We celebrated two decades of innovation, resilience, and growth with a memorable evening over pizza, drinks, and cake. Our leaders, Maish Nichani and Vasu Kolla, took a moment to reflect on the journey so far and shared their vision for our future ahead. This milestone also marked a bittersweet moment as we bid farewell to our Neil Road office, our home for the past 7 years. In December, we’ll step into a new space, ready to embrace the next chapter of our story. The night was capped off with music, laughter, and a lively karaoke session. A heartfelt thank you to all our clients, partners, and friends for your unwavering support. To our incredible past and present team members: thank you for your dedication, passion, and for keeping our values alive through every high and low. Here’s to the next 20 years! 🚀

👉 Subscribe to our weekly newsletter for the latest news and insights into AI and digital transformation: https://lnkd.in/gfTh9d2C #design #innovation #transformation #AI #leadership

A decade since Amazon launched Alexa with aspirations to be Star Trek’s “Computer”, the voice assistant is still falling short. In this week’s newsletter, Maish Nichani shares an article from The Verge on the highs and lows of Alexa over the years and how things might work out for it in 2025 with LLMs. He also shares:  - An article by Karl Mochel which explores how UX patterns change when Generative AI is included in the experience  - An article by Mike Fisher which explores the over-reliance on measurement and the blind spots it can create - His reflections on PebbleRoad turning 20 this month! 🥳 👉 Subscribe to our weekly newsletter for the latest news and insights into AI and digital transformation: https://lnkd.in/gfTh9d2C #design #innovation #transformation #AI #leadership

👉 Subscribe to our weekly newsletter for the latest news and insights into AI and digital transformation: https://lnkd.in/gfTh9d2C #design #innovation #transformation #AI #leadership